This paper investigates the development of safety procedures during the exploration of underwater shipwrecks. First, the dive path and final position of the submarine were successfully predicted by modeling the submarine's acceleration and position prediction. Secondly, based on literature and methodological analysis, the main factors affecting the submarine's position decision, such as continuous wind direction and equipment accuracy, are identified. In terms of equipment solution selection, the cost-effectiveness of equipment carried by the main and rescue boats was evaluated using the CRITIC and VIKOR methods, pointing out that the thermal salinometer and the new unmanned boat were the best choices. Finally, through the Dung Beetle Optimizer and Bayes' Theorem, a statistical model of rescue equipment deployment points and rescue probability was successfully developed, which provides important support for search and rescue operations.

Yuxuan Li, Chenxu Tian. Submarine Position Prediction and Rescue Equipment Optimization Model Based on Dung Beetle Optimizer and Bayes' Theorem. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 191-197. https://doi.org/10.25236/IJFET.2024.060325.

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